Attention control processes that prioritise task execution may come at the expense of incidental memory encoding
Sign Up to like & getrecommendations! Published in 2020 at "Brain and Cognition"
DOI: 10.1016/j.bandc.2020.105602
Abstract: Attention underpins episodic memory encoding by gating information processing. However, it is unclear how different forms of attention affect encoding. Using fMRI, we implemented a novel task that separates top-down and bottom-up attention (TDA; BUA)… read more here.
Keywords: cortex; control; attention; task execution ... See more keywords
Optimizing Parallel Task Execution for Multi-Agent Mission Planning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3254900
Abstract: Multi-agent systems have received a tremendous amount of attention in many areas of research and industry, especially in robotics and computer science. With the increased number of agents in missions, the problem of allocation of… read more here.
Keywords: problem; task execution; task; parallel task ... See more keywords
mpi4py.futures: MPI-Based Asynchronous Task Execution for Python
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3225481
Abstract: We present mpi4py.futures, a lightweight, asynchronous task execution framework targeting the Python programming language and using the Message Passing Interface (MPI) for interprocess communication. mpi4py.futures follows the interface of the concurrent.futures package from the Python… read more here.
Keywords: task execution; asynchronous task; mpi4py; mpi4py futures ... See more keywords
Effective Throughput Analysis of Different Task Execution Strategies for Mid-Air Fitts' Tasks in Virtual Reality
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2022.3203105
Abstract: Fitts' law and throughput based on effective measures are two mathematical models frequently used to analyze human motor performance in a standardized pointing task, e.g., to compare the performance of input and output devices. Even… read more here.
Keywords: effective throughput; execution strategies; task execution; task ... See more keywords
Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Task Execution and Resource Allocation in Vehicular Edge Computing
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2024.3520637
Abstract: Computer vision plays a crucial role in enabling connected autonomous vehicles (CAVs) to observe and comprehend their surroundings. The computer vision tasks are typically based on convolutional neural networks (CNNs). However, CNNs often require significant… read more here.
Keywords: agent deep; task execution; split; edge ... See more keywords
Trusted Mobile Edge Computing: DAG Blockchain-Aided Trust Management and Resource Allocation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2023.3323974
Abstract: The integration of directed acyclic graph (DAG) blockchain and mobile edge computing (MEC) has emerged as a promising means to enable computation-intensive, delay-sensitive, and secure task execution in Internet of Things (IoT) applications. However, off-chain… read more here.
Keywords: dag blockchain; task execution; chain; edge ... See more keywords
Cognitive Loading During and After Continuous Task Execution Alters the Effects of Self-Controlled Knowledge of Results
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2020.01046
Abstract: Previous research has repeatedly demonstrated that providing learners with self-control (SC) over their feedback schedules enhances motor skill learning. Increased information processing under SC conditions has been shown to contribute to these benefits. However, the… read more here.
Keywords: self controlled; task; task execution; execution ... See more keywords
Optimizing Task Execution: The Impact of Dynamic Time Quantum and Priorities on Round Robin Scheduling
Sign Up to like & getrecommendations! Published in 2023 at "Future Internet"
DOI: 10.3390/fi15030104
Abstract: Task scheduling algorithms are crucial for optimizing the utilization of computing resources. This work proposes a unique approach for improving task execution in real-time systems using an enhanced Round Robin scheduling algorithm variant incorporating dynamic… read more here.
Keywords: time; dynamic time; task execution; execution ... See more keywords